Six Figure Work

Senior / Staff Software Engineer — Algorithmic Execution Platform

Clear Street

Company websiteclearstreet.io (Clear Street, opens in new tab)

Base salary $200K  to $350K

Employer-published annual base salary, USD. Advertised base range in Chicago, IL +1 more

Apply (opens in new tab)

You apply on the employer's own site. Six Figure Work does not handle applications.

  • LocationChicago, IL +1 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since
All places named
  • Chicago, IL
  • New York City, NY

About this job

Clear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets.

We started from scratch by building a completely cloud-native clearing and custody system designed for today’s complex, global market. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We’ve agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients.

By combining highly-skilled product and engineering talent with seasoned finance professionals, we’re building the essentials to compete in today’s fast-paced markets.

The Team:
The Algorithmic Execution Services team builds Clear Street’s electronic trading platform, delivering best execution across equities, options, and futures in U.S. and international markets. We develop low-latency order routing, algorithmic strategies, smart order logic, and direct market access — with a relentless focus on performance, scalability, and real-time risk controls.

We are building the next generation of our execution infrastructure from the ground up. The goal is to replace fragmented, vendor-dependent solutions with a single, modular platform that is observable, data-driven, and designed to scale with our business and our clients. The near-term milestone is direct market access in production with institutional clients by end of 2026. The longer-term vision is a unified platform for multi-asset, multi-region electronic trading — with smart strategies, a research environment, and algorithmic execution across equities, options, futures, FX, crypto, and global markets all running on shared infrastructure.

This is a greenfield platform effort. We are not patching what exists — we are building what comes next.

The Role:
This is a core infrastructure role on a small, focused team, based hybrid (4 days in office) out of New York, NY or Lisle, IL. You will be one of the foundational engineers shaping and building our new execution platform — a low-latency, C++-based system with client-facing FIX connectivity, institutional-grade risk controls, and deep integration across U.S. exchanges and dark venues.

  • Client-facing FIX gateway — design and harden the FIX acceptor that serves as the primary inbound order entry point for institutional clients; own the full order lifecycle including order entry, fills, ACKs, rejects, and outbound sequencing
  • Market data infrastructure — build and maintain production-grade feed handlers for exchange protocols (ITCH, OUCH, binary) across major U.S. exchanges and ATSs, replacing legacy market data dependencies with proprietary, low-latency infrastructure
  • Execution and venue connectivity — build and optimize the venue connectivity layer; own latency profiling and hot-path analysis from order receipt through exchange acknowledgment
  • Pre-trade risk controls — architect and implement real-time risk checks with a clear understanding of where each check sits in the critical path; balance correctness guarantees with microsecond-level latency budgets
  • Platform infrastructure — contribute to configuration and command & control architecture, normalized internal message representation, and audit-trail logging systems
  • Algorithmic strategy migration — over time, help move existing algorithmic strategies off legacy infrastructure onto the new platform — component by component, with the current solution running until it is fully replaced

As the core platform stabilizes over the next 12–24 months, you will have the opportunity to contribute to a broader roadmap — including a research and backtesting environment, expansion into additional asset classes (options, futures, FX, crypto), and support for international markets including Europe and Canada. The platform is designed to support all of this from a shared execution layer. The engineers hired now will shape what that looks like.

What We Value:

  • Engineers who are biased toward action and make sound tradeoffs with incomplete information
  • Deep ownership — you care about correctness and performance well beyond your immediate scope
  • Strong communication across engineering, trading, and operations
  • A willingness to challenge assumptions and raise the bar on how we build

Requirements:

  • 7+ years of experience building high-performance, low-latency systems in C++ in a production environment
  • Deep knowledge of FIX protocol (4.2/4.4) and the full order lifecycle — entry, routing, execution, cancellation, and reporting
  • Experience with exchange market data protocols (ITCH, OUCH, binary feed formats) and building production-grade feed handlers
  • Strong understanding of low-latency architecture — kernel bypass, lock-free data structures, CPU affinity, memory layout, and hot-path profiling
  • Experience with multicast messaging (Aeron, LBM, or equivalent publish/subscribe transport)
  • Solid grasp of U.S. equity market structure: order types, Reg NMS, venue routing, lit and dark pools
  • Comfortable working in Linux, including performance tuning at the OS level
  • Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related STEM field

Nice To Haves:

  • Experience building algorithmic execution or SOR infrastructure at a broker-dealer, prop firm, or exchange
  • Familiarity with options or futures execution infrastructure
  • Experience with pre-trade risk system design — firm-level and account-level controls
  • Knowledge of CAT reporting requirements and how they shape system design
  • Experience building platforms designed to service multiple asset classes from a shared execution layer
  • Exposure to international markets and cross-region system design
  • Experience with fractionalization and/or internalization
  • Proficiency in Python for internal tooling and test infrastructure
  • Familiarity with containerization and Kubernetes-based deployment

We Offer:
The Base Salary Range for this role is $200,000 - $350,000. This range is representative of the starting base salaries for this role at Clear Street. Where a candidate falls in this range will be based on job related factors such as relevant experience, skills, and location. This range represents Base Salary only, which is just one element of Clear Street’s total compensation. The range stated does not include other factors of total compensation such as bonuses or equity.

At Clear Street, we offer competitive compensation packages, company equity, 401k matching, gender neutral parental leave, and full medical, dental and vision insurance. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views.

Our top priority is our people. We’re continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other’s successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse — in ideas, in cultures, and in experiences. We are proud to be an equal opportunity employer and put in the effort to make such a workplace a daily reality. #LI-Hybrid

Source: Clear Street on Greenhouse · View original posting (opens in new tab)

Pay in context

This role's base floor ($200,000) is above 91% of the 174 Software Engineering roles in Illinois listed on this site; 2 others list the same floor. Their median floor is $140,000; the middle half runs from $120,000 to $168,650.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live Clear Street roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Clear Street roles with the nearest advertised base floor
RolePublished base
Senior / Staff Software Engineer — Algorithmic Execution Platform (this listing)$200K - $350K
Associate Counsel, Commercial Retail$200K - $250K
Senior / Staff Software Engineer, Reference Data Services$200K - $250K
Data Analytics Engineer$150K - $225K
DevOps Production Engineer$150K - $200K
Associate Director - Operations Manager$125K - $150K
Risk Manager - Active Trading$120K - $160K

Same $100K to $400K scale as every card. All Clear Street roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-22
Where this pay comes from

Location as the employer wrote it: Chicago, New York City

The Base Salary Range for this role is $200,000 - $350,000. This range is representative of the starting base salaries

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.